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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,326 posts.
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How AI Training Scales
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Teach your LLM to answer with facts, not fiction
Learn how to train LLM for accurate answers with VectorSQL which allows you to execute finely-grained vector searches to target and retrieve the required information
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Speech Is 3x Faster Than Typing for English and Mandarin on Mobile Devices
With the ubiquity of mobile devices like smartphones, two new widely used methods have emerged: miniature touch screen keyboards and speech-based dictation. It is currently unknown how these two modern methods compare. We therefore evaluated the text entry performance of both methods in English and in Mandarin Chinese…
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AI Ethics is being narrowed on purpose, like privacy was
A few days ago, OpenAI released an open-source language model for the first time in a very long time. It had been promised for a while, but the deadline kept being pushed for “safety” concerns.
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Low Light and High Dynamic Range photography in the Google Camera App
Posted by Marc Levoy, Google[x] Software Engineering Manager and Professor Emeritus, Stanford University As anybody who has tried to use a smartpho...
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On moving from statistics to machine learning, the final stage of grief (2019)
I’ve spent the last few months preparing for and applying for data science jobs. It’s possible the data science world may reject me and my lack of both experience and a credential above…
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Simulating History with ChatGPT
The Case for LLMs as Hallucination Engines
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Persimmon-8B
We’re open-sourcing Persimmon-8B, the most powerful fully permissively-licensed language model with <10 billion parameters.
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Bring Your Own Agent to Zed – Featuring Gemini CLI
From the Zed Blog: Zed now lets you use the agent of your choice through the new Agent Client Protocol, starting with Google's Gemini CLI.
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Zen, CUDA, and Tensor Cores, Part I: The Silicon
Given the complexity of today's computing hardware, it’s easy to get confused about what is meant by the word “core”.
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Using Large Language Models to Catch Vulnerabilities
Posted by the Big Sleep team Introduction In our previous post, Project Naptime: Evaluating Offe...
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Life of an inference request (vLLM V1): How LLMs are served efficiently at scale
vLLM is an open-source inference engine that serves large language models. We deploy vLLM across GPUs and load open weight models like Llama 4 into it. vLLM sits at the intersection of AI and systems programming, so we thought that diving into its details might interest our readers.
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Transformers for software engineers
Ever since its introduction in the 2017 paper, Attention is All You Need, the Transformer model architecture has taken the deep-learning world by storm. Initially introduced for machine translation, it has become the tool of choice for a wide range of domains, including text, audio, video, and others. Transformers…
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Introducing gpt-oss
We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on reasoning tasks, demonstrate strong tool use capabilities, and…
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AGI Is Still 30 Years Away – Ege Erdil and Tamay Besiroglu
The economy will literally double every year afterwards
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HealthBench – An evaluation for AI systems and human health
HealthBench is a new evaluation benchmark for AI in healthcare which evaluates models in realistic scenarios. Built with input from 250+ physicians, it aims to provide a shared standard for model performance and safety in health.
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Are LLM merge rates not getting better?
I was reading the metr article on how llm code passes test much more often than it is of mergeable quality . They look at the performance of llm s doing programming when the success criterion is “passes all tests” and compare it to when the success criterion is “would get approved by the maintainer”. Unsurprisingly…
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Embracing the parallel coding agent lifestyle
For a while now I’ve been hearing from engineers who run multiple coding agents at once—firing up several Claude Code or Codex CLI instances at the same time, sometimes in …
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Tmux and Claude Code: Sessions, Send-Keys, and the Ceiling
A working tmux setup for running Claude Code and other AI agents: session-per-project naming, pane layouts, send-keys for scripting an agent, capture-pane for reading one back, and the status-line monitor. Plus the limits you hit at four agents.
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JetBrains IDEs Go AI: Coding Agent, Smarter Assistance, Free Tier
All JetBrains AI tools – including our improved AI Assistant and new coding agent Junie – are now available within our IDEs under a single subscription and come with a free tier.
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LLMs Unleashed: The Power of Fine-Tuning
Disclaimer: This article mentions https://terra-cotta.ai/, an LLM experimentation platform I am building Introduction ChatGPT, Bard, and other large language models (LLMs) are very useful for a wide variety of tasks from writing code to answering complex questions to aiding with education. However, these models are…
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Cerebras Inference: AI at Instant Speed
We are excited to announce the release of Cerebras DocChat, our first iteration of models designed for document-based conversational question answering. This series includes two models: Cerebras Llama3-DocChat, a large language model (LLM), and Cerebras Dragon-DocChat, a multi-turn retriever model.
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AI, Apple and Google
As machine learning starts working, how does that change Google, Apple and the smartphone interface? What companies get reshaped around machine learning?
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Using LLMs to trace alchemical knowledge and decode 17th century letters
Using GPT-6 and Opus 5.5 to trace alchemical knowledge and decode 17th century letters